ANALYSIS OF VARIANCE TECHNIQUES FOR UNBALANCED DATA.

This article presents an analysis of variance techniques for unbalanced data. Some of the more important issues encountered in the analysis of unbalanced data is examined here within a single framework. These issues are broadly defined as solutions to the normal equations for linear models where the incidence or design matrix is not of full column rank, estimable functions of the parameters and tests of hypotheses, and reductions in sums of squares and interpretation of results.